On the benefits of defining vicinal distributions in latent space-Reference-Cited by-同舟云学术

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On the benefits of defining vicinal distributions in latent space

Published:2021-12 Issue: Volume:152 Page:382-390
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Mangla Puneet,Singh Vedant,Havaldar Shreyas,Balasubramanian Vineeth

Funder

Japan International Cooperation Agency

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. On Adversarial Mixup Resynthesis;Beckham,2019

2. Mixmatch: A Holistic Approach to Semi-supervised Learning;Berthelot,2019

3. Demystifying MMD GANs;BiÅkowski,2018

4. The use of vicinal-risk minimization for training decision trees;Cao;Appl. Soft Comput.,2015

5. Vicinal Risk Minimization;Chapelle,2001

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. L-Mix: A Latent-Level Instance Mixup Regularization for Robust Self-Supervised Speaker Representation Learning;IEEE Journal of Selected Topics in Signal Processing;2022-10

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